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Objective To explore the gene expression profile in paraspinal muscle degeneration (PMD) and identify key ferroptosis genes. Methods RNA sequencing was performed on paraspinal muscle tissue of 3 normal and 3 PMD patients respectively to obtain differentially expressed genes. Through protein-protein interaction (PPI) and gene functional enrichment analysis, the intersection of ferroptosis genes was identified to identify key hub genes associated with ferroptosis. The diagnostic value for PMD disease was analyzed by receiver operating characteristic (ROC) curves. Results A total of 292 differentially expressed genes were identified in PMD. Among them, 125 genes were significantly downregulated and 167 genes were significantly upregulated. Bioinformatics analysis revealed that 14 differentially expressed genes were associated with ferroptosis. Among them, ferroptosis genes MUC1, ATF3 and CDKN1A were key hub genes with good specificity and sensitivity for diagnosing PMD. Functional enrichment analysis revealed that they may mediate the occurrence and progression of PMD by regulating cell apoptosis, ferroptosis and skeletal muscle tissue development and differentiation. Conclusion Ferroptosis genes MUC1, ATF3 and CDKN1A can serve as biomarkers for diagnosing PMD, providing theoretical basis for decoding the pathological mechanism of PMD and developing new drugs. [ABSTRACT FROM AUTHOR]

ABSTRACTExtensive research has explored the role of gut microbiota in colorectal cancer (CRC). Nonetheless, metatranscriptomic studies investigating the in situ functional implications of host-microbe interactions in CRC are scarce. Therefore, we characterized the influence of CRC core pathogens and biofilms on the tumor microenvironment (TME) in 40 CRC, paired normal, and healthy tissue biopsies using fluorescence in situ hybridization (FISH) and dual-RNA sequencing. FISH revealed that Fusobacterium spp. was associated with increased bacterial biomass and inflammatory response in CRC samples. Dual-RNA sequencing demonstrated increased expression of pro-inflammatory cytokines, defensins, matrix-metalloproteases, and immunomodulatory factors in CRC samples with high bacterial activity. In addition, bacterial activity correlated with the infiltration of several immune cell subtypes, including M2 macrophages and regulatory T-cells in CRC samples. Specifically, Bacteroides fragilis and Fusobacterium nucleatum correlated with the infiltration of neutrophils and CD4+ T-cells, respectively. The collective bacterial activity/biomass appeared to exert a more significant influence on the TME than core pathogens, underscoring the intricate interplay between gut microbiota and CRC. These results emphasize how biofilms and core pathogens shape the immune phenotype and TME in CRC while highlighting the need to extend the bacterial scope beyond CRC pathogens to advance our understanding and identify treatment targets.

BACKGROUND: Preeclampsia is a serious disease of pregnancy that lacks early diagnosis methods or effective treatment, except delivery. Dysregulated uterine immune cells and spiral arteries are implicated in preeclampsia, but the mechanistic link remains unclear. METHODS: Single-cell RNA sequencing and spatial transcriptomics were used to identify immune cell subsets associated with preeclampsia. Cell-based studies and animal models including conditional knockout mice and a new preeclampsia mouse model induced by recombinant mouse galectin-9 were applied to validate the pathogenic role of a CD11chigh subpopulation of decidual macrophages (dMφ) and to determine its underlying regulatory mechanisms in preeclampsia. A retrospective preeclampsia cohort study was performed to determine the value of circulating galectin-9 in predicting preeclampsia. RESULTS: We discovered a distinct CD11chigh dMφ subset that inhibits spiral artery remodeling in preeclampsia. The proinflammatory CD11chigh dMφ exhibits perivascular enrichment in the decidua from patients with preeclampsia. We also showed that trophoblast-derived galectin-9 activates CD11chigh dMφ by means of CD44 binding to suppress spiral artery remodeling. In 3 independent preeclampsia mouse models, placental and plasma galectin-9 levels were elevated. Galectin-9 administration in mice induces preeclampsia-like phenotypes with increased CD11chigh dMφ and defective spiral arteries, whereas galectin-9 blockade or macrophage-specific CD44 deletion prevents such phenotypes. In pregnant women, increased circulating galectin-9 levels in the first trimester and at 16 to 20 gestational weeks can predict subsequent preeclampsia onset. CONCLUSIONS: These findings highlight a key role of a distinct perivascular inflammatory CD11chigh dMφ subpopulation in the pathogenesis of preeclampsia. CD11chigh dMφ activated by increased galectin-9 from trophoblasts suppresses uterine spiral artery remodeling, contributing to preeclampsia. Increased circulating galectin-9 may be a biomarker for preeclampsia prediction and intervention. [ABSTRACT FROM AUTHOR]

This article discusses the limitations of using rodent models in heart transplantation research and highlights the shift towards using human specimens for discovery research. The authors focus on a study that uses single-nucleus RNA sequencing to investigate the cellular landscape of transplanted pediatric hearts. The study identifies important candidate mediators of heart transplant failure, such as graft-infiltrating macrophages and natural killer cells. The authors also explore the dynamics of immune cells within the failing transplanted heart and highlight the potential therapeutic targets that could be investigated further. However, the study has limitations due to the small sample size and the difficulty in obtaining healthy heart transplant tissue. Overall, the article emphasizes the potential of single-cell sequencing and other molecular pathology techniques in advancing our understanding of heart transplantation. [Extracted from the article]

Objective To summarize the clinical features and treatment of genetic epilepsy with febrile seizures plus (GEFS+) caused by SCN1A gene mutations, to improve the understanding of SCN1A gene mutations, and to provide a basis for the clinical diagnosis and treatment of this disease. Methods Clinical data were collected from a child with GEFS+ and her family members who attended Department of Neurology in our hospital, and the third-generation gene sequencing technique was used to perform genetic analysis and validation of peripheral blood DNA of the child and her parents and aunt. Results A girl, aged 7 years, was admitted to the hospital due to "paroxysmal seizures lasting for more than 4 years", with loss of consciousness during seizures and more seizures during pyrexia. The seizures increased after the use of oxcarbazepine and were controlled after the admi-nistration of sodium valproate. Her father had a history of seizures, while her aunt had no clinical symptoms. Third-generation gene sequencing showed the same heterozygous mutation, c.4787G>A(p.R1596H), in the SCN1A gene in the child and her father and aunt. Conclusion The onset of GEFS+ is associated with SCN1A gene mutations, but there is heterogeneity in clinical manifestations among patients in one family, and sodium channel blockers as anti-epileptic drugs will aggravate epileptic seizures in GEFS+.

Background: Irritable bowel syndrome (IBS) is a functional bowel disorder (FBD). Objectives: To assess the therapeutic effects of paeoniflorin (PF) on IBS in rats. Method: Sixty male Sprague–Dawley rats were randomly divided into normal, model, positive drug, low-dose PF, medium-dose PF and high-dose PF groups (n = 10). After gavage for 2 consecutive weeks, the effect of PF on abdominal pain symptoms was assessed based on the abdominal withdrawal reflex (AWR) score, fecal water content and pathological changes in colon tissues. D-lactate, interleukin-1β (IL-1β), transforming growth factor-β (TGF-β) and tumor necrosis factor-α (TNF-α) were detected by enzyme-linked immunosorbent assay, and phosphorylated nuclear factor kappa B (p-NF-κB) p65 was detected by Western blotting. The abundance and diversity changes of intestinal flora were explored using 16S ribosomal RNA sequencing. Result: In PF groups, the mucosal morphology of colon tissues was intact, and the glands were arranged neatly and structured clearly, without obvious inflammatory cell infiltration. Compared with the model group, PF groups had significantly elevated pain threshold, and mRNA and protein levels of zonula occludens-1 (ZO-1) and occludin, decreased AWR score at 20 mmHg pressure, fecal water content, mRNA levels of IL-1β, TGF-β, and TNF-α, protein level of p-NF-κB p65 and level of serum D-lactate, and reduced levels of serum IL-1β, TGF-β, and TNF-α (p < 0.05, p < 0.01). PF groups had higher abundance of Lactobacillus, Akkermansia, Alistipes, and Bacteroides, but lower abundance of Desulfovibrio, Parasutterella, and Enterococcus than those of the model group. Conclusions: PF exerts therapeutic effects on IBS in rats probably by regulating the intestinal flora, and then up-regulating the expressions of ZO-1 and occludin in colon tissue while down-regulating the levels of IL-1β, TGF-β, TNF-α, D-lactate and p-NF-κB p65. [ABSTRACT FROM AUTHOR]

Background: Transplant arteriosclerosis is a major complication in long-term survivors of heart transplantation. Increased lymph flow from donor heart to host lymph nodes has been reported to play a role in transplant arteriosclerosis, but how lymphangiogenesis affects this process is unknown. Methods: Vascular allografts were transplanted among various combinations of mice, including wild-type, Lyve1 -CreERT2;R26-tdTomato, CAG -Cre-tdTomato, severe combined immune deficiency, Ccr2 KO, Foxn1 KO, and lghm / lghd KO mice. Whole-mount staining and 3-dimensional reconstruction identified lymphatic vessels within the grafted arteries. Lineage tracing strategies delineated the cellular origin of lymphatic endothelial cells. Adeno-associated viral vectors and a selective inhibitor were used to regulate lymphangiogenesis. Results: Lymphangiogenesis within allograft vessels began at the anastomotic sites and extended from preexisting lymphatic vessels in the host. Tertiary lymphatic organs were identified in transplanted arteries at the anastomotic site and lymphatic vessels expressing CCL21 (chemokine [C-C motif] ligand 21) were associated with these immune structures. Fibroblasts in the vascular allografts released VEGF-C (vascular endothelial growth factor C), which stimulated lymphangiogenesis into the grafts. Inhibition of VEGF-C signaling inhibited lymphangiogenesis, neointima formation, and adventitial fibrosis of vascular allografts. These studies identified VEGF-C released from fibroblasts as a signal stimulating lymphangiogenesis extending from the host into the vascular allografts. Conclusions: Formation of lymphatic vessels plays a key role in the immune response to vascular transplantation. The inhibition of lymphangiogenesis may be a novel approach to prevent transplant arteriosclerosis. [ABSTRACT FROM AUTHOR]

Ethnopharmacological Relevance: Xiaoyaosan, a classic Chinese herbal formula, exhibits promising antidepressant effects. However, its specific antidepressant mechanisms remain incompletely understood. Previous studies have highlighted the significant role of DNA methylation in the pathogenesis of major depressive disorder (MDD). Yet, whether the effects of Xiaoyaosan are linked to DNA methylation and its regulation remains unclear., Aim of the Study: This study aims to explore and verify the molecular mechanism of Xiaoyaosan in treating MDD via integrated analysis of DNA methylation and RNA sequencing., Materials and Methods: In this study, a chronic unpredictable mild stress (CUMS) model was established to induce MDD in rats, which were subsequently orally treated with Xiaoyaosan, with fluoxetine as a positive control. Antidepressant effects were assessed by the open field test, sucrose preference test, and forced swimming test. Whole-genome bisulfite sequencing (WGBS) and bulk RNA sequencing were performed in the arcuate nucleus of hypothalamus to assess methylation changes and identify differentially expressed genes. Bioinformatics analyses were conducted to explore methylation alterations, RNA sequencing profiles, and their shared epigenetic as well as gene expression changes, to identify candidate genes. Finally, RT-PCR was used to validate the key differential genes., Results: Xiaoyaosan effectively reversed depressive-like behaviors. Further, Xiaoyaosan treatment involved multiple epigenetic modifications. The results of differentially methylated genes showed that there were 1353 overlapped genes between M-vs-C-hypo gene and X-vs-M-hyper gene, 5326 overlapped genes between M-vs-C-hyper gene and X-vs-M-hypo gene. GO and KEGG enrichment analyses indicated these intersecting genes were involved in biological regulation, transcription factors, appetite and endocrine control systems, etc. The analysis of differentially expressed genes from RNA sequencing revealed that there were 25 overlapping genes between the M vs C hypomethylated group and the X vs M hypermethylated group, while 81 overlapping genes were identified between the M vs C hypermethylated group and the X vs M hypomethylated group. Those differential genes regulated by methylation enriched in processes related to brain and neuronal growth, neuropeptide and hormone activation, as well as biological processes and molecular functions associated with protein translation, synthesis, transport, and localization. The integrated analysis of DNA methylation and RNA sequencing screened 14 potentially differential genes, which were associated with appetite regulation, energy metabolism, and neuroreceptor ligands. PCR verification found that Lmx1b, Abcc5, Gpc3 and Cfb showed statistical differences., Conclusions: The antidepressant mechanism of Xiaoyaosan involves the biological regulation in the arcuate nucleus of hypothalamus, including transcription factors, neurotransmitter regulation, neural development, appetite regulation peptides, and endocrine control systems. The methylation level and regulation at the gene locus of Lmx1b, Abcc5, Gpc3, and Cfb may play a key role in the treatment of Xiaoyaosan. These findings provide new insights into the therapeutic mechanisms of Xiaoyaosan., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)

Background: This study aimed to investigate the key molecular mechanisms underlying keloid pathogenesis by integrating oxidative stress, mitochondria, and immune cells., Methods: Transcriptome sequencing (mRNA, lncRNA, and circRNA expression data), proteomic sequencing, and small RNA sequencing analyses of lesional and non-lesional skin of patients with keloids and healthy control (normal) skin were conducted. By integrating mRNA and publicly available gene expression data (GSE158395), differentially expressed genes related to oxidative stress and mitochondrial function in keloids were identified. Hub genes were identified using various bioinformatics analyses such as immune infiltration analysis, weighted gene co-expression network analysis, machine learning, and expression validation using proteomics sequencing data. Moreover, a competing endogenous RNA (ceRNA) network of hub genes was constructed by combining miRNA, lncRNA, and circRNA expression data. Five hub genes were identified: MGST1, DHCR24, ALDH3A2, ADH1B, and FKBP5., Results: These hub genes had a high diagnostic value for keloids, with an AUC value > 0.8 each. In addition, five hub genes were associated with the infiltration of multiple immune cells. The immune cells with the strongest positive and negative correlations with hub genes were M0 and M1 macrophages. A ceRNA network was constructed, and several ceRNAs, such as AC005062.1/miR-134-5p/FKBP5 and BASP1-AS1/miR-503-5p/ADH1B, were identified. These five hub genes may contribute to keloid pathogenesis., Conclusion: These genes and their related ceRNAs may serve as diagnostic biomarkers and therapeutic targets for keloids., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)

Atopic dermatitis (AD) is characterized by dysregulated T cell immunity and skin microbiome dysbiosis with predominance of Staphylococcus aureus, which is associated with exacerbating AD skin inflammation. Specific glycosylation patterns of S. aureus cell wall structures amplify skin inflammation through interaction with Langerhans cells (LCs). Nevertheless, the role of LCs in AD remains poorly characterized. Here, we performed single cell RNA sequencing of primary epidermal LCs and dermal T cells, isolated from skin biopsies of AD patients and healthy control subjects, alongside specific glycoanalysis of S. aureus strains isolated from the AD lesions. Our findings revealed 4 LC subpopulations ie, 2 steady-state clusters [LC1 and LC1H] and 2 proinflammatory/matured subsets [LC2 and migratory LCs]. The latter 2 subsets were enriched in AD skin. AD LCs showed enhanced expression of C-type lectin receptors, the high-affinity IgE receptor, and activation of prostaglandin and leukotriene biosynthesis pathways, upregulated transcriptional signatures related to T cell activation pathways, and increased expression of CCL17 compared with healthy LCs. Correspondingly, T helper 2 and T regulatory cell populations were increased in AD lesions. Complementary, we performed bulk RNA sequencing of primary LCs stimulated with the S. aureus strains isolated from the AD lesions, which showed upregulation of T helper 2-related pathways. Our study provides proof-of-concept for a role of LCs in connecting the S. aureus-T cell axis in the AD inflammatory cycle., (© The Author(s) 2025. Published by Oxford University Press on behalf of The American Association of Immunologists.)

Background: Malignant clones of primary cutaneous T-cell lymphomas (CTCL) can show a CD4+, CD8+ or T-cell receptor (TCR)-γδ+ phenotype, but their individual impact on tumour biology and skin lesion formation remains ill defined., Objectives: To perform a comprehensive molecular characterization of CD4+ vs. CD8+ and TCR-γδ+ CTCL lesions., Methods: We performed single-cell RNA sequencing (scRNAseq) of 18 CTCL skin biopsies to compare classic CD4+ advanced-stage mycosis fungoides (MF) with TCR-γ/δ+ MF and primary cutaneous CD8+ aggressive epidermotropic cytotoxic T-cell lymphoma (Berti lymphoma)., Results: Malignant clones of TCR-γ/δ+ MF and Bertilymphoma showed similar clustering patterns distinct from CD4+ MF, along with increased expression of cytotoxic markers such as NKG7, CTSW, GZMA and GZMM. Only advanced-stage CD4+ MF clones expressed central memory T-cell markers (SELL, CCR7, LEF1), alongside B1/B2 blood involvement, whereas TCR-γδ+ MF and Berti lymphoma harboured a more tissue-resident phenotype (CD69, CXCR4, NR4A1) without detectable cells in the blood. CD4+ MF and TCR-γδ+ MF skin lesions harboured strong type 2 immune activation across myeloid cells, while Berti lymphoma was more skewed toward type 1 immune responses. Both CD4+ MF and TCR-γδ+ MF lesions showed upregulation of keratinocyte hyperactivation markers such as S100A genes and KRT16. This increase was entirely absent in Berti lymphoma, possibly reflecting an aberrant keratinocyte response to invading tumour cells, which could contribute to the formation of the typical ulceronecrotic lesions within this entity., Conclusions: Our scRNAseq profiling study reveals specific molecular patterns associated with distinct CTCL subtypes., Competing Interests: Conflicts of interest: W.W. has received personal fees from LEO Pharma, Pfizer, Sanofi Genzyme, Eli Lilly, Novartis, Boehringer Ingelheim, AbbVie and Janssen. J.G. has received personal fees from AbbVie, Eli Lilly, Pfizer, Boehringer Ingelheim and Novartis. C.J. has received personal fees from LEO Pharma, UCB Pharma, Pfizer, Recordati Rare Diseases, Eli Lilly, Novartis, Takeda, Kyowa Kirin, Boehringer Ingelheim, Bristol Myers Squibb, AbbVie, Janssen and Almirall. C.J. is an investigator for Eli Lilly, Novartis, Innate Pharma, AbbVie, Incyte, Boehringer Ingelheim and Almirall. P.M.B. has received personal fees from Almirall, Sanofi, Janssen, LEO Pharma, AbbVie, Pfizer, Boehringer Ingelheim, GSK, Regeneron, Eli Lilly, Celgene, Novartis, UCB, Merck, Galderma and BMS. P.M.B. is an investigator for Pfizer and Abbvie. P.M.B has also received research support from Pfizer (grant paid to his institution). The other authors declare no conflicts of interest., (© The Author(s) 2024. Published by Oxford University Press on behalf of British Association of Dermatologists.)

Immune checkpoint blockade (ICB) therapies have emerged as a promising avenue for the treatment of various cancers. Despite their success, the efficacy of these treatments is variable across patients and cancer types. Numerous single-cell RNA-sequencing (scRNA-seq) studies have been conducted to unravel cell-specific responses to ICB treatment. However, these studies are limited in their sample sizes and require advanced coding skills for exploration. Here, we have compiled eight scRNA-seq datasets from nine cancer types, encompassing 223 patients, 90,270 cancer cells, and 265,671 other cell types. This compilation forms a unique resource tailored to investigate how cancer cells respond to ICB treatment across cancer types. We meticulously curated, quality-checked, pre-processed, and analyzed the data, ensuring easy access for researchers. Moreover, we designed a user-friendly interface for seamless exploration. By sharing the code and data for creating these interfaces, we aim to assist fellow researchers. These resources offer valuable support to those interested in leveraging and exploring single-cell datasets across diverse cancer types, facilitating a comprehensive understanding of ICB responses., Competing Interests: Competing interests: A.M.C. is a co-founder of and serves as a Scientific Advisory Board member for LynxDx, Esanik Therapeutics, Medsyn, and Flamingo Therapeutics. A.M.C. is a scientific advisor or consultant for EdenRoc, Aurigene Oncology, Ascentage Pharma, Proteovant, Belharra, Rappta Therapeutics, and Tempus., (© 2025. The Author(s).)

Objectives: We investigated the recently generated RNA-sequencing dataset of pulpitis to identify the potential pain-related lncRNAs for pulpitis prediction., Materials and Methods: Differential analysis was performed on the gene expression profile between normal and pulpitis samples to obtain pulpitis-related genes. The co-expressed gene modules were identified by weighted gene coexpression network analysis (WGCNA). Then the hypergeometric test was utilized to screen pain-related core modules. The functional enrichment analysis was performed on the up- and down-regulated genes in the core module of pulpitis pain to explore the underlying mechanisms. A pain-related lncRNA-based classification model was constructed using LASSO. Consensus clustering and gene set variation analysis (GSVA) on the infiltrating immunocytes was used for pulpitis subtyping. miRanda predicts miRNA-target relationship, which was filtered by expression correlation. Hallmark pathway and enrichment analysis was performed to investigate the candidate target pathways of the lncRNAs., Results: A total of 1830 differential RNAs were identified in pulpitis. WGCNA explored seven co-expressed modules, among which the turquoise module is pain-related with hypergeometric test. The up-regulated genes were significantly enriched in immune response related pathways. Down-regulated genes were significantly enriched in differentiation pathways. Eight lncRNAs in the pain-related module were related to inflammation. Among them, MIR181A2HG was downregulated while other seven lncRNAs were upregulated in pulpitis. The LASSO classification model revealed that MIR181A2HG and LINC00426 achieved outstanding predictive performances with perfect ROC-AUC score (AUC = 1). We differentiated the pulpitis samples into two progression subtypes and MIR181A2HG is a progressive marker for pulpitis. The miRNA-mRNA-lncRNA regulatory network of pulpitis pain was constructed, with GATA3 as a key transcription factor. NF-kappa B signaling pathway is a candidate pathway impacted by these lncRNAs., Conclusions: PCED1B-AS1, MIAT, MIR181A2HG, LINC00926, LINC00861, LINC00528, LINC00426 and ITGB2-AS1 may be potential markers of pulpitis pain. A two-lncRNA signature of LINC00426 and MIR181A2HG can accurately predict pulpitis, which could facilitate the molecular diagnosis of pulpitis. GATA3 might regulate these lncRNAs and downstream NF-kappa B signaling pathway., Clinical Relevance: This study identified potential pain-related lncRNAs with underlying molecular mechanism analysis for the prediction of pulpitis. The classification model based on lncRNAs will facilitate the early diagnosis of pulpitis., Competing Interests: Declarations. Ethical approval: Not applicable. Competing interests: The authors declare no competing interests., (© 2025. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: Prolonged spaceflight is known to cause vascular deconditioning and remodeling. Tail suspension, a widely used spaceflight analog, is reported to result in vascular remodeling of rats. However, little is known about the cellular atlas of the heterogeneous cells of CA and FA from hindlimb-unloaded rats., Methods: Firstly, we leveraged scRNA-seq to perform clustering analysis to identify diverse cell populations and sub-clusters within CA and FA from rats subjected to 3 months of hindlimb unloading. The dysregulated genes specific for artery types and cell types in HU group compared to Con were unraveled. Then R package "Cellchat" was used to reveal ligand-receptor cellular communication. At last, the TF network analysis was performed using the SCENIC R package to predict the pivotal TFs in rat artery remodeling induced by hindlimb unloading., Results: Clustering analysis identified ECs, SMCs, fibroblasts, and a spectrum of immune cells, as well as neuronal and stem cells. Notably, an increased percentage of ECs in the CA and a diminished proportion of SMCs in both CA and FA were observed following tail suspension. Intersection of dysregulated genes specific for artery type and cell type after tail suspension revealed several gene sets involved in ECM remodeling, inflammation, vasoconstriction, etc. Fibroblasts, in particular, exhibited the most significant gene expression variability, highlighting their plasticity. Subclustering within ECs, SMCs and fibroblasts revealed specialized subsets engaged in processes such as EndoMT and cell cycle checkpoint regulation. Additionally, enhanced intercellular interactions among major cell types, especially between SMC and fibroblast, underscored the importance of cell communication in vascular remodeling. Several TFs were identified as potentially influential in the vascular remodeling process under simulated microgravity conditions., Conclusions: This study presents the first cellular atlas of the conductive arteries in hindlimb-unloaded rats, revealing a spectrum of dysregulated gene profiles. The identification of the subclusters of ECs, SMCs and fibroblasts, cellular communication analysis and transcription factors prediction are also included in this work. The findings provide a reference for future research on vascular deconditioning following long-duration spaceflight., Competing Interests: Declarations. Ethics approval and consent to participate: All animal procedures conducted in this study were in strict accordance with the “Guidelines for the Care and Use of Laboratory Animals” as stipulated by China, and were duly approved by the Institutional Animal Care and Use Committee at the Fourth Military Medical University, China. Consent for publication: Not applicable. Competing interests: The authors declare no conflict of interest., (© 2025. The Author(s).)

Pigeons and certain other avian species produce a milk-like secretion in their crop sacs to nourish offspring, yet the detailed processes involved are not fully elucidated. This study investigated the crop sacs of 225-day-old unpaired non-lactating male pigeons (MN) and males initiating lactation on the first day after incubation (ML). Using RNA sequencing, ribosome profiling, and single-cell transcriptome sequencing (scRNA-seq), we identified a significant up-regulation of genes associated with ribosome assembly and protein synthesis in ML compared to MN. Results from scRNA-seq analysis identified 12 distinct cell types and 22 clusters, with secretory epithelial cells (SECs) exhibiting marked expression of plasma cell markers, including IGLL1 and MZB1 . RNA fluorescence in situ hybridization (RNA FISH) and IgY quantification confirmed the critical role of SECs in producing endogenous IgY during lactation. We propose that fibroblast-derived BAFF signals activate SECs, mimicking B cell transformation and enhancing protein production through the unfolded protein response (UPR). These findings shed light on the cellular dynamics of pigeon milk production and contribute to a broader understanding of avian biology.

Pseudomonas aeruginosa is a Gram-negative bacterium that is notorious for airway infections in cystic fibrosis (CF) subjects. Bacterial quorum sensing (QS) coordinates virulence factor expression and biofilm formation at population level. Better understanding of QS in the bacterium-host interaction is required. Here, we set up a new P. aeruginosa infection model, using 2D upper airway nasal organoids that were derived from 3D organoids. Using dual RNA-sequencing, we dissected the interaction between organoid epithelial cells and WT or QS-mutant P. aeruginosa strains. Since only a single healthy individual and a single CF subject were used as donors for the organoids, conclusions about CF-specific effects could not be deduced. However, P. aeruginosa induced epithelial inflammation, whereas QS signaling did not affect the epithelial airway cells. Conversely, the epithelium influenced infection-related processes of P. aeruginosa, including QS-mediated regulation. Comparison of our model with samples from the airways of CF subjects indicated that our model recapitulates important aspects of infection in vivo. Hence, the 2D airway organoid infection model is relevant and may help to reduce the future burden of P. aeruginosa infections in CF., Competing Interests: Declarations. Competing interests: HC is the head of Pharma Research and Early Development at Roche, Basel and holds several patents related to organoids technology. HC’s full disclosure is given at https://www.uu.nl/staff/JCClevers/. The other authors declare no conflict of interest., (© 2025. The Author(s).)

Barley leaf stripe, a disease mainly caused by Pyrenophora graminea (P. graminea) infection, severely affects barley yield and quality and is one of the most widespread diseases in barley production. However, little is known about the underlying molecular mechanisms of leaf stripe resistance. In this study, the transcript expression profiles of normal and infected leaves of resistant Tibetan hulless barley (Hordeum vulgare L. var. nudum Hook. f.) variety Kunlun 14 and susceptible variety Z1141 were analyzed by RNA sequencing (RNA-seq). The results showed a total of 7,669 and 5,943 differentially expressed genes (DEGs) were found in resistant and susceptible Kunlun 14 and Z1141, respectively, with 8,916 DEGs found between Kunlun 14 and Z1141. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of the 8,916 DEGs identified many significantly enriched categories and pathways, of which a plant-pathogen interaction pathway, containing a total of 102 genes (100 known genes and two novel genes), was found, that was very important for the study of the leaf stripe resistance mechanism. Using RNA-seq, small RNA sequencing (miRNA-seq) combined with degradome sequencing (degradome-seq), four pairs associated with leaf-stripe miRNAs and target genes were obtained, namely Hvu-miR168-5p and Argonaute1 (HvAGO1), Hvu-novel-52 and growth-regulating factor 6 (HvGRF6), Hvu-miR6195 and chemocyanin-like protein (CLP), and Hvu-miR159b and gibberellin-dependent MYB (GAMYB). Transformation of the important target gene HvAGO1 into Arabidopsis verified that HvAGO1 could against Botrytis cinerea. Then RNA-seq and miRNA-seq of Arabidopsis transformed with overexpressed of HvAGO1 were performed. Based on the above research results, we constructed a Protein-Protein Interaction (PPI) network of barley leaf stripe resistance. This study lays the foundation for the study of the barley leaf stripe resistance mechanism and provides new targets for the genetic improvement of disease-resistant barley varieties., Competing Interests: Declarations. Institutional review board statement: Not applicable. Informed consent: Not applicable. Competing interests: The authors declare no competing interests., (© 2025. The Author(s).)

Background: Cancer remains one of the most significant public health challenges worldwide. A widely recognized hallmark of cancer is the ability to sustain proliferative signaling, which is closely tied to various cell cycle processes. Centromere Protein A (CENPA), a variant of the standard histone H3, is crucial for selective chromosome segregation during the cell cycle. Despite its importance, a comprehensive pan-cancer bioinformatic analysis of CENPA has not yet been conducted., Methods: Data on genomes, transcriptomes, and clinical information were retrieved from publicly accessible databases. We analyzed CENPA's genetic alterations, mRNA expression, functional enrichment, association with stemness, mutations, expression across cell populations and cellular locations, link to the cell cycle, impact on survival, and its relationship with the immune microenvironment. Additionally, a prognostic model for glioma patients was developed to demonstrate CENPA's potential as a biomarker. Furthermore, drugs targeting CENPA in cancer cells were identified and predicted using drug sensitivity correlations and protein-ligand docking., Results: CENPA exhibited low levels of gene mutation across various cancers. It was found to be overexpressed in nearly all cancer types analyzed in TCGA, relative to normal controls, and was predominantly located in the nucleus of malignant cells. CENPA showed a strong association with the cancer cell cycle, particularly as a biomarker for the G2 phase. It also emerged as a valuable diagnostic and prognostic biomarker across multiple cancer types. In glioma, CENPA demonstrated reliable prognostic potential when used alongside other prognostic factors. Additionally, CENPA was linked to the immune microenvironment. Drugs such as CD-437, 3-Cl-AHPC, Trametinib, BI-2536, and GSK461364 were predicted to target CENPA in cancer cells., Conclusion: CENPA serves as a crucial biomarker for the cell cycle in cancers, offering both diagnostic and prognostic value., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2025 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: There was evidence that ERP44 played vital roles in a variety of cancers. However, currently, ERP44 was rarely mentioned in gliomas. Therefore, we firstly integrated proteomics, bulk, as well as single-cell RNA-sequencing (scRNA-seq) to study the possible functions of ERP44 in glioma patients., Methods: From online databases, we obtained bulk RNA-seq, scRNA-seq, and proteomic data of ERP44 in gliomas and verified the expression of ERP44 by qRT-PCR. Then, the Noman diagram, gene set enrichment analysis (GSEA), and univariate/multivariate Cox regression analysis were all carried out in turn. Further discussions were also conducted regarding tumor immunity and ERP44 expression., Results: ERP44 in glioma tissues was found to be considerably higher than that in normal tissues (P<0.05) in the TCGA dataset, as well as the verification of GSE50161, GSE4290, and qRT-PCR results. High ERP44 expression indicated poorer overall survival (OS) for glioma (P<0.05), and it might also be used to predict gliomas' OS independently (P<0.05). In order to estimate these patients' survival prognosis, a Noman chart was created with effectiveness. According to GSEA analysis, ERP44 might be implicated in five significant pathways in gliomas. The levels of immune cell infiltration of LGG, the tumor immune microenvironments, the immunological checkpoints of LGG, and GBM were all strongly linked with ERP44 in terms of tumor immunity (P<0.05). Further scRNA-seq analysis revealed that ERP44 could be expressed in various cell types, including T cells, Mono/Macrophages, and malignant cells., Conclusions: ERP44 was an oncogenic gene in gliomas, serving as a bridge mediating prognosis and immunity., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background: Psoriasis is a chronic inflammatory skin disease affecting 2-3% of the global population, characterised by red scaly patches that significantly affect patients' quality of life. Recent studies have suggested that cell senescence, a state in which cells cease to divide and secrete inflammatory mediators, plays a critical role in various chronic diseases, including psoriasis. However, the involvement and mechanisms of action of senescence-related genes in psoriasis remain unclear., Methods: This study aimed to identify senescence-related genes associated with psoriasis and explore their molecular mechanisms. RNA sequencing data from psoriasis and control samples were obtained from the GEO database. Differential expression analysis was performed using DESeq2 to identify differentially expressed genes (DEGs). The intersection of DEGs with cell senescence-related genes from the CellAge database was used to identify the candidate genes. Protein-protein interaction networks, Gene Ontology, and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to explore the functions and pathways of these genes. Machine learning algorithms, including Least Absolute Shrinkage and Selection Operator (LASSO) regression and Support vector machine-recursive feature elimination (SVE-RFE), were used to select feature genes that were validated by qRT-PCR. Additionally, an immune cell infiltration analysis was performed to understand the roles of these genes in the immune response to psoriasis., Results: This study identified 4,913 DEGs in psoriasis, of which 46 were related to cell senescence. Machine learning highlighted four key genes, CXCL1, ID4, CCND1, and IRF7, as significant. These genes were associated with immune cell infiltration and validated by qRT-PCR, suggesting their potential as therapeutic targets for psoriasis., Conclusions: This study identified and validated key senescence-related genes involved in psoriasis, providing insights into their molecular mechanisms and potential therapeutic targets and offering a foundation for developing targeted therapies for psoriasis., Competing Interests: The authors declare that they have no competing interests., (© 2025 Deng et al.)

Background: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide. Single-cell RNA sequencing (scRNA-seq) provides gene expression profiles at the single-cell level. Hence, we evaluated gene expression in the peripheral blood of patients with COPD., Methods: Peripheral blood samples from seven healthy controls and eight patients with COPD were obtained in this study. The 10X Genomics Chromium Instrument and cDNA synthesis kit were utilized to generate a barcoded cDNA library for single cell RNA-sequencing. We compared the scRNA-seq data between the COPD and control groups using computational analysis. Functional analyses were performed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses., Results: scRNA-seq was used to analyze the transcriptome of peripheral blood mononuclear cells from seven normal controls and eight patients with COPD. We found an increased number of monocyte/macrophages in the COPD group compared to the normal control group. Among the differentially expressed genes (DEGs) in monocyte/macrophages, we identified 15 upregulated genes (EGR1, NR4A1, CCL3, CXCL8, PTGS2, CD83, BCL2A1, SGK1, IL1B, BTG2, NFKBIZ, DUSP2, MAFB, PLAUR and CCL3L1) and 7 downregulated genes (FOLR3, RPS4Y1, HLA-DRB5, NAMPT, CD52, TMEM176A and TMEM176B) in the COPD group compared to the normal control group., Conclusions: Using scRNA-seq, we found differences in cell type distribution, especially in monocyte/ macrophages. Several upregulated and downregulated genes were found in the monocyte/macrophages of the COPD group., Competing Interests: Declarations. Ethics approval and consent to participate: The authors are responsible for all aspects of the work, ensuring that any questions related to the accuracy or integrity of any part of the study are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (2013 revision). Study approval was obtained from the Institutional Review Board of Kangwon National University Hospital (IRB No. 2012-06-007-061), and written informed consent was acquired from each participant before enrollment. Consent for publication: Written informed consent was obtained from all the participants. Competing interests: The authors declare no competing interests., (© 2025. The Author(s).)

This study aims to investigate the follicle microenvironment of individuals with premature ovarian insufficiency (POI), normal ovarian reserve (normal), and advanced maternal age (AMA), and identify potential therapeutic targets. A total of nine women, including three POI, three normal, and three AMA women, who underwent in vitro fertilization or intracytoplasmic sperm injection were included in this study. For each participant, the first punctured follicle not containing cumulus cells were submitted to single-cell RNA sequencing to explore the characteristics of the follicle microenvironment of POI, normal, and AMA individuals. A total of 87,323 cells were isolated and grouped into six clusters: T cells, B cells, neutrophils, basophils, mononuclear phagocytes, and granulosa cells. Further analysis demonstrated that the population of granulosa cells in cluster 6 was increased in AMA and POI patients, whereas the population of gamma delta T (GDT) cells was decreased. We also found that the genes that were differentially expressed between GDT cells and monocytes were enriched in ribosome- and endoplasmic reticulum (ER)-related pathways. In addition, it showed that VEGFA-FLT1 interaction between the monocytes and granulosa cells may be lost in the AMA and POI patients as compared with the normal group. Loss of the VEGFA-FLT1 interaction in monocytes and granulosa cells, along with enriched ER- and ribosome-related pathways, may drive excess inflammation, accelerating granulosa cell senility and contributing to infertility. This study provides new insights into the pathogenesis of POI and aging and highlights the VEGFA-FLT1 interaction may be a potential therapeutic target for reducing inflammation and treating POI., (© The Author(s) 2024. Published by Oxford University Press on behalf of Society for the Study of Reproduction.)

Age-related muscle wasting, sarcopenia is an extensive loss of muscle mass and strength with age and a major cause of disability and accidents in the elderly. Mechanisms purported to be involved in muscle ageing and sarcopenia are numerous but poorly understood, necessitating deeper study. Hence, we employed high-throughput RNA sequencing to survey the global changes in protein-coding gene expression occurring in skeletal muscle with age. Caloric restriction (CR) is a known prophylactic intervention against sarcopenia. Therefore, total RNA was isolated from the muscle tissue of both rats fed ad libitum and CR rats. RNA-seq data were subjected to Gene Ontology, pathway, co-expression, and interaction network analyses. This revealed the functional pathways most activated by both ageing and CR, as well as the key "hub" proteins involved in their activation.RNA-seq revealed 442 protein-coding genes to be upregulated and 377 to be downregulated in aged muscle, compared to young muscle. Upregulated genes were commonly involved in protein folding and immune responses; meanwhile, downregulated genes were often related to developmental biology. CR was found to suppress 69.7% and rescue 57.8% of the genes found to be upregulated and downregulated in aged muscle, respectively. In addition, CR uniquely upregulated 291 and downregulated 304 protein-coding genes. Hub genes implicated in both ageing and CR included Gc, Plg, Irf7, Ifit3, Usp18, Rsad2, Blm and RT1-A2, whilst those exclusively implicated in CR responses included Alb, Apoa1, Ambp, F2, Apoh, Orm1, Mx1, Oasl2 and Rtp4. Hub genes involved in ageing but unaffected by CR included Fgg, Fga, Fgb and Serpinc1. In conclusion, this comprehensive RNA sequencing study highlights gene expression patterns, hub genes and signalling pathways most affected by ageing in skeletal muscle. This data may provide the initial evidence for several targets for potential future therapeutic interventions against sarcopenia., Competing Interests: Declarations. Ethics approval and consent to participate: The animal study from which samples were collected [25] received ethical approval from the University of Liverpool’s Animal Welfare Committee and adhered to the Animal (Scientific Procedures) Act 1986 and its amendments. The research proposal underwent an ethical review and scoring process before grant submission, followed by additional review from the funding body. After funding approval, a Project Licence (PPL 40/2533), classified as "Mild," was obtained from the Home Office Animal Inspectorate, which involved detailed scrutiny and compliance with the principles of Replace, Reduce, and Refine. The Home Office conducted unannounced visits to ensure adherence to protocols, and animals were humanely euthanised by cervical dislocation after stunning, as required by law. The process was overseen by licensed officials to maintain high standards of animal welfare and ethical compliance. Consent for publication: Not applicable. Competing interests: JPM is CSO of YouthBio Therapeutics, an advisor/consultant for the BOLD Longevity Growth Fund, 199 Biotechnologies, and NOVOS, and the founder of Magellan Science Ltd, a company providing consulting services in longevity science. There are no competing interests declared by any other authors. There are no competing interests declared by any other authors., (© 2025. The Author(s).)

Turner syndrome (TS) can be determined by karyotype analysis, marked by the loss of one X chromosome in females. However, the genes involved in autoimmunity in TS patients remain unclear. In this study, we aimed to analyze differences in immune gene expression between a patient with TS, a healthy female, and a female patient with Graves' disease using single-cell RNA sequencing (scRNA-seq) analysis of antigen-specific CD4(+) T cells. We identified 43 differentially expressed genes in the TS patient compared with the healthy female and the female patient with Graves' disease. Many of these genes have previously been suggested to play a role in immune system regulation. This study provides valuable insights into the differences in immune-related gene expression between TS patients, healthy individuals, and those with autoimmune diseases.

Macrophages play important roles in metabolic dysfunction-associated steatohepatitis (MASH), an advanced and inflammatory stage of metabolic dysfunction-associated steatotic liver disease (MASLD). In humans and mice, the cellular heterogeneity and diverse function of hepatic macrophages in MASH have been investigated by single cell RNA sequencing (scRNA-seq). However, little is known about their roles in rats. Here, we collected liver tissues at the postnatal week 16, when our previously characterized Lep ∆I14/∆I14 rats developed MASH phenotypes. By scRNA-seq, we found an increase in the number of macrophages and endothelial cells and a decrease in that of NK and B cells. Hepatic macrophages in rats underwent a unique M1 to M2 transition without expression of the classical markers such as Arg1 and Nos2, except for Cd163. Lipid-associated macrophages (LAMs) were increased, which could be detected by the antibody against Cd63. In the microenvironment, macrophages had an increased number of interactions with hepatocytes, myofibroblasts, T cells, neutrophils, and dendritic cells, while their interaction strengths remained unchanged. Finally, the macrophage migration inhibitory factor (MIF) pathway was identified as the top upregulated cell-communication pathway in MASH. In conclusion, we dissected hepatic macrophage dynamics during MASH at single cell resolution and provided fundamental tools for the investigation of MASH in rat models.

The utility of environmental RNA (eRNA) in capturing biological responses to stresses has been discussed previously; however, the limited number of genes detected remains a significant hindrance to its widespread implementation. Here, we investigated the potential of eRNA to assess the health status of Japanese medaka fish exposed to linear alkylbenzene sulfonate. Analyzing eRNA and organismal RNA (oRNA) in aquarium water within 12 h, we achieved high mapping rates and 10 times more differentially expressed genes than previously reported. This advancement has facilitated the previously unattainable capability of gene ontology (GO) analysis. The GO analysis revealed that eRNA can detect nuclear genes associated with cellular components and reflect cumulative gene expression signatures over time, while oRNA provided short-term gene expression signatures in biological process. Moreover, eRNA exhibited high sensitivity in responding to genes associated with sphingolipid and ceramide biosynthesis, which are involved in inflammatory responses possibly originating from impaired cells. This finding aligns with the observations made in oRNA. In conclusion, eRNA-sequencing (eRNA-seq) using aquarium water emerges as a valuable high sensitivity tool for analyzing physiological stress. The findings of this study lay the foundation for further development of eRNA-seq technologies., Competing Interests: Declaration of competing interest Authors declare that they have no competing interests., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: Adenocarcinoma of the esophagogastric junction (AEGJ) is a highly aggressive tumor that frequently metastasizes to the liver. Understanding the cellular and molecular mechanisms that drive this process is essential for developing effective therapies., Methods: We employed single-cell RNA sequencing to analyze the tumor heterogeneity and microenvironmental landscape in patients with AEGJ liver metastases. This approach enabled us to characterize the diverse cell populations involved in the liver metastatic process., Results: Our analysis revealed a significant involvement of fibroblasts and mural cells in AEGJ liver metastasis. We identified a specific fibroblast type in AEGJ liver metastasis and observed distinct gene expression patterns between adenocarcinoma of the esophagogastric junction and other stomach adenocarcinomas. Our study demonstrated high expression of the SFRP2 gene in pericyte cells during the liver metastasis of AEGJ. The incorporation of GEO, TCGA, and immunofluorescence staining of SFRP2 expression enhanced our study. High expression of SFRP2 in pericytes may influence vascular stability and angiogenesis through the Wnt pathway., Conclusion: Our study provides novel insights into the cellular interactions and molecular mechanisms that underlie AEGJ liver metastasis. Targeting the identified subtype of fibroblasts or influencing SFRP2 gene expression in pericytes may offer new therapeutic strategies for combating this aggressive tumor., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2025 Xu, Sadiq, Zhao, Xia, Liu, Zhang and Xu.)

Tooth development is a complex process of the orderly interaction between epithelium originating from the ectoderm and mesenchyme derived from cranial neural crest cells, which not only depends on cell genes regulatory network but also involves crosstalk between cells and their surrounding environment. Even within the same type of cellular populations, obvious heterogeneity may be observed. Single-cell RNA sequencing is a novel technology aimed at sequencing the transcriptome of individual cell. As a critical bridge linking genetic information from the genome to the functional proteome, transcriptome analysis at the single-cell level enables a deeper understanding of cellular heterogeneity and organ developmental trajectories. This approach provides a powerful tool for elucidating complex biological processes and identifying potential therapeutic targets. Here, we summarize the latest advances in employing single-cell RNA sequencing analysis to the process of tooth development, which will help provide insights into a better understanding of prosthodontics and regeneration.

Background: Cervical cancer is the fourth most common cancer in women globally, and the main cause of the disease has been found to be ongoing HPV infection. Cervical cancer remains the primary cause of cancer-related death despite major improvements in screening and treatment approaches, especially in low- and middle-income nations. Therefore, it is crucial to investigate the tumor microenvironment in advanced cervical cancer in order to identify possible treatment targets., Materials and Methods: In order to better understand malignant cervical cancer epithelial cells (EPCs), this study used bulk RNA-seq data from UCSC in conjunction with single-cell RNA sequencing data from the ArrayExpress database. After putting quality control procedures into place, cell type identification and clustering analysis using the Seurat software were carried out. To clarify functional pathways, enrichment analysis and differential gene expression were carried out. The CIBERSORT and ESTIMATE R packages were used to evaluate the immune microenvironment characteristics, and univariate and multivariate Cox regression analyses were used to extract prognostic features. Furthermore, assessments of drug sensitivity and functional enrichment were carried out., Results: Eight cell types were identified, with EPCs showing high proliferative and stemness features. Five EPC subpopulations were defined, with C1 NNMT+ CAEPCs driving tumor differentiation. A NNMT CAEPCs Risk Score (NCRS) model was developed, revealing a correlation between elevated NCRS scores and adverse patient outcomes characterized by immune evasion. In vitro experiments validated that the prognostic gene PLOD2 significantly enhances proliferation, migration, and invasion of cervical cancer cells., Conclusion: This investigation delineated eight cell types and five subpopulations of malignant EPCs in cervical cancer, establishing the C1 NNMT+ CAEPCs as a crucial therapeutic target. The NCRS model demonstrated its prognostic capability, indicating that higher scores are associated with poorer clinical outcomes. The validation of PLOD2 as a prognostic gene highlights its therapeutic potential, underscoring the critical need for integrating immunotherapy and targeted treatment strategies to enhance diagnostic and therapeutic approaches in cervical cancer., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2025 Lin, Wang, Yin, Li, Bai, Zhang, Sui, Cao, Su, Xu and Wang.)

Progress in biology has generated numerous lists of genes that share some property. But advancing from these lists of genes to understanding their roles is slow and unsystematic. Here we use RNA silencing in Caenorhabditis elegans to illustrate an approach for prioritizing genes for detailed study given limited resources. The partially subjective relationships between genes forged by both deduced functional relatedness and biased progress in the field were captured as mutual information and used to cluster genes that were frequently identified yet remain understudied. Some proteins encoded by these understudied genes are predicted to physically interact with known regulators of RNA silencing, suggesting feedback regulation. Predicted interactions with proteins that act in other processes and the clustering of studied genes among the most frequently perturbed suggest regulatory links connecting RNA silencing to other processes like the cell cycle and asymmetric cell division. Thus, among the gene products altered when a process is perturbed could be regulators of that process acting to restore homeostasis, which provides a way to use RNA sequencing to identify candidate protein-protein interactions. Together, the analysis of perturbed transcripts and potential interactions of the proteins they encode could help prioritize candidate regulators of any process., (© The Author(s) 2025. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Identifying cell populations associated with risk variants is essential for uncovering cell-specific mechanisms that drive disease development and progression. Integrating genome-wide association studies (GWAS) with single-cell RNA sequencing (scRNA-seq) has become an effective strategy for detecting trait-cell relationships. The accumulation of trait-related single cell data has led to an urgent need for its comprehensively processing. To address this, we developed sc2GWAS (https://bio.liclab.net/sc2GWAS/), which aims to document large-scale GWAS trait-cell regulatory pairs at single-cell resolution and provide comprehensive annotations and enrichment analyses for these related pairs. The current version of sc2GWAS curates a total of 15 078 310 candidate trait-cell pairs from > 6 300 000 individual cells, offering a valuable resource for exploring complex regulatory relationships between traits and cells. We applied strict quality control measures on both scRNA-seq data and GWAS data, ensuring the reliability and accuracy of the datasets for the identification of trait-relevant cells and genes. In addition, sc2GWAS provides ranked lists of trait-relevant genes and extensive (epi) genetic annotations, making it a valuable resource for downstream analyses. We demonstrate the utility of the platform by investigating Alzheimer's disease, where we identified significant associations between the disease and microglial cells, with the APOE gene emerging as particularly significant. This platform facilitates detailed research into complex trait-cell and trait-gene interactions, we anticipate that sc2GWAS will become a comprehensive and valuable platform for exploring GWAS trait-cell regulatory mechanisms., (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Background: Dilated cardiomyopathy (DCM) is one of the most common causes of heart failure. Infiltration and alterations in non-cardiomyocytes of the human heart involve crucially in the occurrence of DCM and associated immunotherapeutic approaches., Methods: We constructed a single-cell transcriptional atlas of DCM and normal patients. Then, the xCell algorithm, EPIC algorithm, MCP counter algorithm, and CIBERSORT method were applied to identify DCM-related cell types with a high degree of precision and specificity using RNA-seq datasets. We further analyzed the heterogeneity among cell types, performed trajectory analysis, examined transcription factor regulatory networks, investigated metabolic heterogeneity, and conducted intercellular communication analysis. Finally, we used bulk RNA-seq data to confirm the roles of M2-like2 subpopulations and GAS6 in DCM., Results: We integrated and analyzed Single-cell sequencing (scRNA-seq) data from 7 DCM samples and 3 normal heart tissue samples, totaling 70,958 single-cell data points. Based on gene-specific expression and prior marker genes, we identified 9 distinct subtypes, including fibroblasts, endothelial cells, myeloid cells, pericytes, T/NK cells, smooth muscle cells, neuronal cells, B cells, and cardiomyocytes. Using machine learning methods to quantify bulk RNA-seq data, we found significant differences in fibroblasts, T cells, and macrophages between DCM and normal samples. Further analysis revealed high heterogeneity in tissue preference, gene expression, functional enrichment, immunodynamics, transcriptional regulatory factors, metabolic changes, and communication patterns in fibroblasts and myeloid cells. Among fibroblast subpopulations, proliferative F3 cells were implicated in the fibroblast transition process in DCM, while myofibroblast F6 cells promoted the fibroblast transition to a late cell state in DCM. Additionally, two subpopulations of M2 macrophages, M2-like1 and M2-like2, were identified with distinct features. The M2-like2 cell subpopulation, which was enriched in glycolysis and fatty acid metabolism, involved in inflammation inhibition and fibrosis promotion. Cell‒cell communication analysis indicated the GAS6-MERTK axis might exhibit interaction between M2 macrophage and M2-like1 macrophage. Furthermore, deconvolution analysis for bulk RNA-seq data revealed a significant increase in M2-like2 subpopulations in DCM, suggesting a more important role for this cell population in DCM., Conclusions: We revealed the heterogeneity of non-cardiomyocytes in DCM and identified subpopulations of myofibroblast and macrophages engaged in DCM, which suggested a potential significance of non-cardiomyocytes in treatment of DCM., Competing Interests: Declarations. Ethics approval and consent to participate: Not applicable. Consent for publication: Not applicable. Competing interests: The authors declare that they have no competing interests in this section., (© 2024. The Author(s).)

Single-cell sequencing technology has enabled the discovery and characterization of subpopulations of immune cells with unique functions, which is critical for revealing immune responses under healthy or disease conditions. Efforts have been made to collect and curate single-cell RNA sequencing (scRNA-seq) data, yet an immune-specific single-cell multi-omics atlas with harmonized metadata is still lacking. Here, we present scImmOmics (https://bio.liclab.net/scImmOmics/home), a manually curated single-cell multi-omics immune database constructed based on high-quality immune cells with known immune cell labels. Currently, scImmOmics documents >2.9 million cell-type labeled immune cells derived from seven single-cell sequencing technologies, involving 131 immune cell types, 47 tissues and 4 species. To ensure data consistency, we standardized the nomenclature of immune cell types and presented them in a hierarchical tree structure to clearly describe the lineage relationships within the immune system. scImmOmics also provides comprehensive immune regulatory information, including T-cell/B-cell receptor sequencing clonotype information, cell-specific regulatory information (e.g. gene/chromatin accessibility/protein/transcription factor states within known cell types, cell-to-cell communication and co-expression networks) and immune cell responses to cytokines. Collectively, scImmOmics is a comprehensive and valuable platform for unraveling the heterogeneity and diversity of immune cells and elucidating the specific regulatory mechanisms at the single-cell level., (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)

The Rfam database, a widely used repository of non-coding RNA families, has undergone significant updates in release 15.0. This paper introduces major improvements, including the expansion of Rfamseq to 26 106 genomes, a 76% increase, incorporating the latest UniProt reference proteomes and additional viral genomes. Sixty-five RNA families were enhanced using experimentally determined 3D structures, improving the accuracy of consensus secondary structures and annotations. R-scape covariation analysis was used to refine structural predictions in 26 families. Gene Ontology (GO) and Sequence Ontology annotations were comprehensively updated, increasing GO term coverage to 75% of families. The release adds 14 new Hepatitis C Virus RNA families and completes microRNA family synchronization with miRBase, resulting in 1603 microRNA families. New data types, including FULL alignments, have been implemented. Integration with APICURON for improved curator attribution and multiple website enhancements further improve user experience. These updates significantly expand Rfam's coverage and improve annotation quality, reinforcing its critical role in RNA research, genome annotation and the development of machine learning models. Rfam is freely available at https://rfam.org., (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)

The field of single-cell RNA sequencing (scRNA-seq) has advanced rapidly in the past decade, generating significant amounts of valuable data for researchers to study complex tumor profiles. This data is crucial for gaining innovative insights into cancer biology. CancerSCEM (https://ngdc.cncb.ac.cn/cancerscem) is a public resource that integrates, analyzes and visualizes scRNA-seq data related to cancer, and it provides invaluable support to numerous cancer-related studies. With CancerSCEM 2.0, scRNA-seq data have increased from 208 to 1466 datasets, covering tumor, matching-normal and peripheral blood samples across 127 research projects and 74 cancer types. The new version of this resource enhances transcriptome analysis by adding copy number variation evaluation, transcription factor enrichment, pseudotime trajectory construction, and diverse biological feature scoring. It also introduces a new cancer metabolic map at the single-cell level, providing an intuitive understanding of metabolic regulation across different cancer types. CancerSCEM 2.0 has a more interactive analysis platform, including four modules and 14 analytical functions, allowing researchers to perform cancer scRNA-seq data analyses in various dimensions. These enhancements are expected to expand the usability of CancerSCEM 2.0 to a broader range of cancer research and clinical applications, potentially revolutionizing our understanding of cancer mechanisms and treatments., (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Microtia is a congenital malformation characterized by underdevelopment of the external ear. While chondrocyte dysfunction has been implicated in microtia, the specific cellular abnormalities remain poorly understood. This study aimed to investigate mitochondrial dysfunction in microtia chondrocytes using single-cell RNA sequencing. Cartilage samples were obtained from patients with unilateral, non-syndromic microtia and healthy controls. Single-cell RNA sequencing was performed using the 10 × Genomics platform. Bioinformatic analyses including cell type identification, trajectory analysis, and gene co-expression network analysis were conducted. Mitochondrial function was assessed through ROS levels, membrane potential, and transmission electron microscopy. Chondrocytes from microtia samples showed lower mitochondrial function scores compared to normal samples. Trajectory analysis revealed more disorganized differentiation patterns in microtia chondrocytes. Mitochondrial dysfunction in microtia chondrocytes was confirmed by increased ROS production, decreased membrane potential, and altered mitochondrial structure. Gene co-expression network analysis identified hub genes associated with mitochondrial function, including SDHA, SIRT1, and PGC1A, which showed reduced expression in microtia chondrocytes. This study provides evidence of mitochondrial dysfunction in microtia chondrocytes and identifies potential key genes involved in this process. These findings offer new insights into the pathogenesis of microtia and may guide future therapeutic strategies., Competing Interests: Declarations. Competing interests: The authors declare no competing interests. Ethics approval and consent to participate: All procedures in this research were approved by the Research Ethics Committee of Shanghai Ninth People’s Hospital. The study followed the Declaration of Helsinki for ethical purposes, and all participants provided written informed consent. Consent for publication: Written informed consent was obtained by the patient., (© 2025. The Author(s).)

Small cell neuroendocrine cervical carcinoma is a highly aggressive tumor characterized by early metastasis, a high recurrence rate, and poor prognosis. This study represents the first instance of single-cell sequencing conducted on small cell neuroendocrine carcinoma of the cervix worldwide. Analysis of gene expression regulatory networks revealed that the transcription factor TFF3 drived up-regulation of ELF3. Furthermore, our findings indicated that the neuroendocrine marker genes and gene regulatory networks associated with small cell neuroendocrine cervical carcinoma differed from those observed in lung, small intestine, and liver neuroendocrine carcinoma within the GEO database, suggesting tissue-specific origins for these malignancies. Overall, this study addresses a significant research in understanding small cell neuroendocrine cervical carcinoma in vivo and provides valuable insights for guiding radiotherapy, chemotherapy, and targeted therapy., Competing Interests: Declarations. Ethics approval and consent to participate: The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of Obstetrics and Gynecology Hospital of Fudan University(2024-113). Informed consent was obtained from all subjects involved in the study. Written informed consent has been obtained from the patient to publish this paper. Consent for publication: Not applicable. Competing interests: The authors declare no conflicts of interest., (© 2024. The Author(s).)

Background: Anti-citrullinated peptide antibodies (ACPA)-negative (ACPA-) rheumatoid arthritis (RA) presents significant diagnostic and therapeutic challenges due to the absence of specific biomarkers, underscoring the need to elucidate its distinctive cellular and metabolic profiles for more targeted interventions., Methods: Single-cell RNA sequencing data from peripheral blood mononuclear cells (PBMCs) and synovial tissues of patients with ACPA- and ACPA+ RA, as well as healthy controls, were analyzed. Immune cell populations were classified based on clustering and marker gene expression, with pseudotime trajectory analysis, weighted gene co-expression network analysis (WGCNA), and transcription factor network inference providing further insights. Cell-cell communication was explored using CellChat and MEBOCOST, while scFEA enabled metabolic flux estimation. A neural network model incorporating key genes was constructed to differentiate patients with ACPA- RA from healthy controls., Results: Patients with ACPA- RA demonstrated a pronounced increase in classical monocytes in PBMCs and C1QChigh macrophages (p < 0.001 and p < 0.05). Synovial macrophages exhibited increased heterogeneity and were enriched in distinct metabolic pathways, including complement cascades and glutathione metabolism. The neural network model achieved reliable differentiation between patients with ACPA- RA and healthy controls (AUC = 0.81). CellChat analysis identified CD45 and CCL5 as key pathways facilitating macrophage-monocyte interactions in ACPA- RA, prominently involving iron-mediated metabolite communication. Metabolic flux analysis indicated elevated beta-alanine and glutathione metabolism in ACPA- RA macrophages., Conclusion: These findings underscore that ACPA-negative rheumatoid arthritis is marked by elevated classical monocytes in circulation and metabolic reprogramming of synovial macrophages, particularly in complement cascade and glutathione metabolism pathways. By integrating single-cell RNA sequencing with machine learning, this study established a neural network model that robustly differentiates patients with ACPA- RA from healthy controls, highlighting promising diagnostic biomarkers and therapeutic targets centered on immune cell metabolism., Competing Interests: The authors declare that this research was conducted without any commercial or financial relationships that could present a potential conflict of interest., (Copyright © 2025 Jiang, Hu, Huang, Ho, Wang and Kang.)

Main Conclusion: Small RNA sequencing analysis in two chickpea genotypes, JG 62 (Fusarium wilt-susceptible) and WR 315 (Fusarium wilt-resistant), under Fusarium wilt stress led to identification of 544 miRNAs which included 406 known and 138 novel miRNAs. A total of 115 miRNAs showed differential expression in both the genotypes across different combinations. A miRNA, Car-miR398 targeted copper chaperone for superoxide dismutase (CCS) that, in turn, regulated superoxide dismutase (SOD) activity during chickpea-Foc interaction. Fusarium wilt (FW) of chickpea (Cicer arietinum L.) caused by Fusarium oxysporum f. sp. ciceris (Foc) is a destructive soil-borne disease that severely reduces the chickpea yield and quality globally. In the present study, we have investigated microRNAs and the microRNA/target gene crosstalk involved in chickpea resistance to FW. The control and stress samples from two genotypes, JG 62 (FW-susceptible) and WR 315 (FW-resistant), collected at 10 days post-inoculation (dpi), were selected for small RNA sequencing. A total of 12 libraries were constructed and sequenced using Illumina HiSeq 2500 platform. The sequencing and in silico analyses revealed the identification of 544 miRNAs which included 406 known and 138 novel miRNAs. A total of 50 miRNAs were physically co-localized with Foc-resistance QTLs present on chromosome 2 (also known as Foc hotspot). A total of 115 miRNAs showed differential expression in both the genotypes across different combinations. Prediction and functional annotation of miRNA targets revealed their role in transcription regulation, disease resistance, defense response, metabolism, etc. Ten miRNAs and their targets were validated using poly(A)-based qRT-PCR in two genotypes grown under lab and field conditions. Many miRNAs and their targets showed genotype-specific expression. The expression profiling also highlighted, both, similar and different expression patterns for the same sets of miRNA and mRNA at different stages of Foc infection. A high correlation in expression patterns of the miRNAs and their targets in lab- and field-grown plant samples was observed. Interestingly, Car-miR398 targeted copper chaperone for superoxide dismutase (CCS) that, in turn, regulated superoxide dismutase (SOD) activity during chickpea-Foc interaction. The cleavage site in targets was mapped for three miRNAs by analyzing publicly available degradome data for chickpea. The study, for the first time, provides novel insights into microRNA-mediated regulation of resistance and susceptibility mechanisms in chickpea against FW and opens up avenues for the development of the wilt-resistant cultivars in chickpea., Competing Interests: Declarations. Competing interest: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: Undifferentiated carcinoma (UC) is a rare subtype of pancreatic cancer distinguished from UC with osteoclast-like giant cells (UC-OGC) in 2019, affecting interpretation of literature that does not distinguish these subtypes. We sought to identify translationally relevant differences between these 2 variants and compared with pancreatic ductal adenocarcinoma., Methods: We characterized clinical and multiomic differences between UC (n = 32) and UC-OGC (n = 15) using DNA sequencing, RNA sequencing, and multiplex immunofluorescence and compared these findings with pancreatic ductal adenocarcinoma., Results: Characteristics at diagnosis were similar between UC and UC-OGC, though the latter was more resectable (P = .009). Across all stages, median overall survival was shorter for UC than for UC-OGC (0.4 years vs 10.8 years, respectively; P = .003). This shorter survival was retained after stratification by resection, albeit without statistical significance (1.8 years vs 11.9 years, respectively; P = .08). In a subset of patients with available tissue, the genomic landscape was similar among UC (n = 9), UC-OGC (n = 5), and pancreatic ductal adenocarcinoma (n = 159). Bulk RNA sequencing was deconvoluted and, along with multiplex immunofluorescence in UC (n = 13), UC-OGC (n = 5), and pancreatic ductal adenocarcinoma (n = 16), demonstrated statistically significantly increased antigen-presenting cells, including M2 macrophages and natural killer cells, and decreased cytotoxic and regulatory T cells in UC and UC-OGC vs pancreatic ductal adenocarcinoma. Findings were similar between UC and UC-OGC , except for decreased regulatory T cells in UC-OGC (P = .04)., Conclusions: In this series, UC was more aggressive than UC-OGC, with these variants having more antigen-presenting cells and fewer regulatory T cells than pancreatic ductal adenocarcinoma, suggesting potential for immune-modulating therapies in the treatment of these pancreatic cancer subtypes., (© The Author(s) 2024. Published by Oxford University Press.)

Background: The field of single cell technologies has rapidly advanced our comprehension of the human immune system, offering unprecedented insights into cellular heterogeneity and immune function. While cryopreserved peripheral blood mononuclear cell (PBMC) samples enable deep characterization of immune cells, challenges in clinical isolation and preservation limit their application in underserved communities with limited access to research facilities. We present CryoSCAPE (Cryopreservation for Scalable Cellular And Proteomic Exploration), a scalable method for immune studies of human PBMC with multi-omic single cell assays using direct cryopreservation of whole blood., Results: Comparative analyses of matched human PBMC from cryopreserved whole blood and density gradient isolation demonstrate the efficacy of this methodology in capturing cell proportions and molecular features. The method was then optimized and verified for high sample throughput using fixed single cell RNA sequencing and liquid handling automation with a single batch of 60 cryopreserved whole blood samples. Additionally, cryopreserved whole blood was demonstrated to be compatible with functional assays, enabling this sample preservation method for clinical research., Conclusions: The CryoSCAPE method, optimized for scalability and cost-effectiveness, allows for high-throughput single cell RNA sequencing and functional assays while minimizing sample handling challenges. Utilization of this method in the clinic has the potential to democratize access to single-cell assays and enhance our understanding of immune function across diverse populations., Competing Interests: Declarations. Ethics approval and consent to participate: Specimens purchased from Bloodworks NW were collected under BloodWorks WIRB Protocol #20141589. Specimens provided by Benaroya Research Institute were collected under Benaroya Research Institute IRB #IRB19-045. All sample collections were conducted by Bloodworks NW and Benaroya Research Institute under these IRB protocols, and all donors signed informed consent forms. Consent for publication: Not applicable. Competing interests: The authors have no competing interests to disclose., (© 2025. The Author(s).)

Purpose: Previous studies have reported divergent sexual responses to aging; however, specific variations in gene expression between aging males and females and their potential association with age-related retinal diseases remain unclear. This study collected data from public databases and developed a comprehensive comparison of retina between aging females and males., Methods: Single-cell RNA (scRNA) and bulk RNA sequencing data of the aging retina from females and males in public databases were utilized for integrated analysis to investigate sex-biased expression in retina. Additionally, in vitro experiments were conducted on individuals with retinitis pigmentosa (RP) to validate the sex difference in degenerative retina., Results: Bulk RNA analysis revealed sex-biased expression of specific genes in retina of aging individuals, with immune pathway-related genes exhibiting higher expression in females compared to males. The scRNA analysis demonstrated that sex-biased gene expression was cell-type specific in aging retina. Furthermore, susceptibility genes for age-related macular degeneration and RP exhibited variation across different cell types and sexes. Cell-to-cell communication unveiled an increased interaction associated with TGFB1, CCL7, and VEGFA in Müller glia, microglia, and astrocytes of female retina. Notably, we observed female-biased chemokine expression in microglia contributing to heightened susceptibility to immune inflammation in female retina. Finally, we confirmed a more pronounced inflammatory response during degeneration in female rd10 mouse retina compared to males., Conclusions: This study provides a comprehensive comparison of retina between females and males in healthy aging human retina and highlights the significance of sex as an influential factor in retinal diseases.

Small-cell neuroendocrine cancer (SCNEC) of the uterine cervix is an exceedingly rare, highly aggressive tumor with an extremely poor prognosis. The cellular heterogeneity, origin, and tumorigenesis trajectories of SCNEC of the cervix remain largely unclear. We performed single-cell RNA sequencing and whole-exome sequencing on tumor tissues and adjacent normal cervical tissues from two patients diagnosed with SCNEC of the cervix. Here, we provide the first comprehensive insights into the cellular composition, HPV infection-related features, and gene expression profiles of SCNEC of the cervix at single-cell resolution. Correlation analyses suggested that SCNEC of the cervix may originate from squamous epithelial cells, and this observation was validated with bulk RNA-seq data from external cervical neuroendocrine cancer. Furthermore, sex-determining region Y-box 2 (SOX2), a key transcription factor that functions in direct neural differentiation, was located in the copy number gain region and highly expressed in neuroendocrine tumor cells from both patients. Notable, the distributions of the HPV-infected epithelium and SOX2 highly expressed epithelium were consistent with each other. Therefore, we supposed that high-risk HPV infection and amplification of SOX2 in the squamous epithelium may contribute to the progression of small-cell neuroendocrine tumorigenesis in the cervix., (© 2025 Wiley Periodicals LLC.)

Previous studies in sports science suggested that regular exercise has a positive impact on human health. However, the effects of endurance sports and their underlying mechanisms are still not completely understood. One of the main debates regards the modulation of immune dynamics in high-intensity exercise. As part of the "Run 4 Science" project in Verona, Italy, we conducted a single-cell RNA sequencing analysis on half-marathon amateur runners to investigate the transcriptional dynamics of peripheral blood mononuclear cells following endurance exercise. Blood samples were collected from four participants before and after running a half-marathon to carry out a comprehensive transcriptomic analysis of immune cells at the single-cell level. Our analysis revealed significant alterations in the transcriptional profiles following endurance physical exercise. Modulations in myeloid cells suggested the activation of stress response (6 related pathways, p < 0.04) and pathways related to viral processes (4 related pathways, p < 0.03), while in lymphoid cells they hinted to a shift towards immune activation (24 related pathways, p < 0.01). Additionally, transcriptional changes in platelets point to an activation of the coagulation process (5 related pathways, p < 0.005). Single-cell data was also analyzed following a pseudo-bulk approach (i.e., simulating a bulk RNAseq experiment) to gain further biological insights. Our findings suggest that a pseudo-bulk analysis could offer complementary findings to classical single-cell analysis methods and demonstrate that endurance physical exercise, such as running a half-marathon, induces substantial changes in the transcriptional dynamics of immune cells. These insights contribute to a better understanding of the immune modulation mediated by endurance exercise and may inform future training routines or nutritional guidelines based on individual gene expression levels., (© 2025 The Author(s). Scandinavian Journal of Medicine & Science In Sports published by John Wiley & Sons Ltd.)

Brain ischemia causes disruption in cerebral blood flow and blood-brain barrier integrity, which are normally maintained by astrocyte endfeet. Emerging evidence points to dysregulation of the astrocyte translatome during ischemia, but its effects on the endfoot translatome are unknown. In this study, we aimed to investigate the early effects of ischemia on the astrocyte endfoot translatome in a rodent cerebral ischemia and reperfusion model of stroke. To do so, we immunoprecipitated astrocyte-specific tagged ribosomes (RiboTag IP) from mechanically isolated brain microvessels. In mice subjected to middle cerebral artery occlusion and reperfusion and contralateral controls, we sequenced ribosome-bound RNAs from perivascular astrocyte endfeet and identified 205 genes that were differentially expressed in the endfoot translatome after ischemia. The main biological processes associated with these differentially expressed genes included proteostasis, inflammation, cell cycle/death, and metabolism. Transcription factors whose targets were enriched amongst upregulated translating genes included HSF1, the master regulator of the heat shock response. The most highly upregulated genes in the translatome were HSF1-dependent Hspa1a and Hspa1b , which encode the inducible HSP70. Using qPCR, Western blot, and immunohistochemistry, we confirmed that HSP70 is upregulated in astrocyte endfeet after ischemia. This coincided with an increase in ubiquitination across the proteome that suggests that ischemia induces a disruption in proteostasis in astrocyte endfeet. These findings suggest a robust proteostasis response to proteotoxic stress in the endfoot translatome after ischemia. Modulating proteostasis in endfeet may be a strategy to preserve endfoot function and BBB integrity after ischemic stroke.

Ovarian endometrioma (OE), also known as "chocolate cysts," is a cystic mass that develops in the ovaries due to endometriosis and is a common gynecological condition characterized by the growth of endometrial tissue outside the uterus, leading to symptoms such as dysmenorrhea, pelvic pain, and infertility. However, the precise molecular and cellular mechanisms driving this pathophysiology remain largely unknown, posing challenges for diagnosis and treatment. Here, we employed integrated single-cell transcriptomic profiling of over 52,000 individual cells from endometrial tissues of OE patients and healthy donors and identified twelve major cell populations. We identified notable alterations in cell type-specific proportions and molecular signatures associated with OE. Notably, the activation of IGFBP5 + macrophages with pro-inflammatory properties, NK cell exhaustion, and aberrant proliferation of IQCG + and KLF2 + epithelium are key features and may be the potential mechanisms underlying the pathogenesis of OE. Collectively, our data contribute to a better understanding of OE at the single cell level and may pave the way for the development of novel therapeutic strategies., Competing Interests: Compliance and ethics. The authors declare that they have no conflict of interest., (© 2024. Science China Press.)

Introduction: Kawasaki disease [KD] is a systemic disorder characterized by acute febrile illness due to widespread medium-vessel vasculitis, mainly affecting children. Despite the ongoing advanced research into the disease pathophysiology and molecular mechanisms, the exact etiopathogenesis of KD is still an enigma. Recently, single-cell RNA sequencing [scRNA-seq], has been utilized to elucidate the pathophysiology of KD at a resolution higher than that of previous methods., Area Covered: In the present article, we re-emphasize the pivotal role of this high-resolution technique, scRNA-seq, in the characterization of immune cell transcriptomic profile and signaling/response pathways in KD and explore the diagnostic, prognostic, and therapeutic potential of this new technique in KD. Using combinations of the search phrases 'KD, scRNA-seq, CAA, childhood vasculitis' a literature search was carried out on Scopus, Google Scholar, and PubMed until the beginning of 2024., Expert Opinion: scRNA-seq presents a transformative tool for dissecting KD at the cellular level. By revealing rare cell populations, gene expression alterations, and disease-specific pathways, scRNA-seq aids in understanding the intricacies of KD pathogenesis. This review will provide new insights into pathogenesis of KD and the field of applications of scRNA-seq in personalized therapeutics for KD in the future.

Background: Sinonasal inverted papilloma (SNIP) is characterized by a high recurrence rate and potential for malignant transformation. Although metabolic reprogramming plays a role in benign neoplasms, the specific metabolic pathways and biomarkers involved in SNIP pathogenesis remain unclear. Methods: RNA sequencing on paired SNIP and normal tissues identified altered genes with enzyme annotations and metabolic pathways by intersecting our cohort data (GSE270193, N=2) with the GSE193016 (N=4) dataset using Ingenuity Pathway Analysis. Functional and interaction assessments were performed using Metascape and STRING, with further validation via tissue microarray from an independent SNIP cohort (N=30). Results: The estrogen biosynthesis pathway was significantly altered in both datasets. Five key biomarkers, AKR1B10, CYP1B1, CYP2C19, CYP3A5, and HSD17B13, were significantly altered in SNIP tissues. These markers, sharing Gene Ontology terms, showed significant correlations at both the transcript and protein levels. Functional analysis revealed enrichment in epithelial cell proliferation and regulation of EGFR signaling, suggesting a role in SNIP pathogenesis. Validation in an independent cohort confirmed elevated protein levels of these markers, all positively correlated with EGFR in SNIP tissues. Notably, AKR1B10, CYP2C19, and CYP3A5 exhibited specific expression patterns distinguishing SNIP from sinonasal squamous cell carcinoma. Conclusion: Altered estrogen biosynthesis signaling plays a role in SNIP pathogenesis, revealing distinct biomarkers that could serve as novel diagnostic markers and therapeutic targets for SNIP management., Competing Interests: Competing Interests: The authors have declared that no competing interest exists., (© The author(s).)

Background: Intervertebral disc degeneration (IDD) is associated with back pain; back pain is a world-wide contributor to poor quality of life, while necroptosis has the characteristics of necroptosis and apoptosis, however, its role in IDD is still unclear. Therefore, the aim of this study was to identify biomarkers associated with necroptosis in IDD., Purpose: To explore biomarkers associated with necroptosis in IDD, reveal the pathogenesis of IDD, as well as provide new directions for the diagnosis and treatment of this disease., Study Design/settings: Retrospective cohort study. Our study employs scRNA-seq coupled with MR analysis to investigate the causal relationship between necroptosis and IDD, laying a foundational groundwork for unveiling the intricate pathogenic mechanisms of this condition., Methods: Data quality control and normalisation was executed in single-cell dataset, GSE205535. Then, different cell types were obtained by cell annotation through marker genes. Subsequently, chi-square test was employed to assess the distribution difference of different cell types between IDD and control to screen key cells. AUCell was applied to calculate necroptosis-related genes (NRGs) scores of all cell types, further key cells were divided into high and low NRGs groups according to the median AUC scores of different cell types. Afterwards, the differentially expressed genes (DEGs) within the 2 score groups were screened. Then, the genes that had causal relationship with IDD were selected as biomarkers by univariate and multivariate Mendelian randomization (MR) analysis. Finally, the expression of biomarkers in different cell types and pseudo-time analysis was analyzed separately., Results: In GSE205535, 16 different cell populations identified by UMAP cluster analysis were further annotated to 8 cell types using maker genes. Afterwards, 53 DEGs were screened between the high and low NRGs groups. In addition, 9 genes with causal relationship with IDD were obtained by univariate MR analysis, further multivariate MR analysis proved that NT5E and TMEM158 had a direct causal relationship with IDD, which were used as biomarkers in this study. This study not only found that the expression levels of NT5E and TMEM158 were higher in IDD group, but also found that fibrochondrocytes and inflammatory chondrocytes were the key cells of NT5E and TMEM158, respectively. In the end, the biomarkers had the same expression trend in the quasi-time series, and both of them from high to low and then increased., Conclusions: NT5E and TMEM158, as biomarkers of necroptotic apoptotic IDD, were causally associated with IDD., Clinical Significance: The understanding of chondrocytes as key cells provides new perspectives for deeper elucidation of the pathogenesis of IDD, improved diagnostic methods, and the development of more effective treatments. These findings are expected to provide a more accurate and personalised approach to clinical diagnosis and treatment, thereby improving the prognosis and quality of life of patients with IDD., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: The mitochondrial contact site and cristae organising system (MICOS) complex is required for cristae formation and is composed of seven proteins. Among the genes of MICOS complex, variants of MICOS13, IMMT and APOO have been reported to cause diseases., Methods and Results: We report a case in which whole genome sequencing identified a variant of the MICOS10 gene associated with mitochondrial hepatopathy along with mitochondrial DNA depletion. We identified the deletion g.19596826&#95;19601303del and the single nucleotide variant c.173G>C (p.Cys58Ser). The deletion including exon 1 might have caused complete loss of gene expression, indicating monoallelic expression from RNA sequencing. MIC10 was lost at the protein level in the patient's fibroblasts, and mitochondrial oxygen consumption was impaired. These were restored by overexpression of MICOS10 in the patient's fibroblasts., Conclusion: Taken together, these findings indicate that MICOS10 is a causative gene for hepatopathy and neuropathy, a disease very similar to that associated with MICOS13., (© 2024 The Author(s). Liver International published by John Wiley & Sons Ltd.)